Hawki

Dataset statistics

Number of variables	19
Number of observations	5 883
Missing cells	12 352
Missing cells (%)	11.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.1 MiB
Average record size in memory	738.0 B

Variable types

Categorical	5
Numeric	8
Text	5
DateTime	1

Alerts

`Category` is highly overall correlated with `Instrument` and 3 other fields	High correlation
`DEC` is highly overall correlated with `Instrument` and 2 other fields	High correlation
`Exptime` is highly overall correlated with `Type` and 2 other fields	High correlation
`Instrument` is highly overall correlated with `Category` and 8 other fields	High correlation
`MJD-OBS` is highly overall correlated with `Instrument` and 4 other fields	High correlation
`Mode` is highly overall correlated with `Category` and 7 other fields	High correlation
`OBJECT` is highly overall correlated with `Category` and 7 other fields	High correlation
`RA` is highly overall correlated with `Instrument` and 4 other fields	High correlation
`Type` is highly overall correlated with `Category` and 6 other fields	High correlation
`filter_lambda_max` is highly overall correlated with `DEC` and 5 other fields	High correlation
`filter_lambda_min` is highly overall correlated with `DEC` and 5 other fields	High correlation
`TPL START` has 223 (3.8%) missing values	Missing
`filter_lambda_min` has 4764 (81.0%) missing values	Missing
`filter_lambda_max` has 4764 (81.0%) missing values	Missing
`Filter` has 1171 (19.9%) missing values	Missing
`Airmass` has 679 (11.5%) missing values	Missing
`DIMM Seeing at Start` has 679 (11.5%) missing values	Missing
`Dataset ID` has unique values	Unique
`Exptime` has 205 (3.5%) zeros	Zeros

Reproduction

Analysis started	2025-04-05 13:36:03.827674
Analysis finished	2025-04-05 13:36:13.341881
Duration	9.51 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

OBJECT
Categorical

High correlation

Distinct	48
Distinct (%)	0.8%
Missing	8
Missing (%)	0.1%
Memory size	333.3 KiB

PROXIMA-CEN	1256
PROX CENTAURI	571
GJ551	549
PROXIMA	442
GL551	436
Other values (43)	2621

Length

Max length	25
Median length	16
Mean length	8.9913191
Min length	1

Characters and Unicode

Total characters	52 824
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	OBJECT
2nd row	OBJECT
3rd row	OBJECT
4th row	OBJECT
5th row	OBJECT

Common Values

Value	Count	Frequency (%)
PROXIMA-CEN	1256	21.3%
PROX CENTAURI	571	9.7%
GJ551	549	9.3%
PROXIMA	442	7.5%
GL551	436	7.4%
OBJECT	399	6.8%
PROXIMA CENTAURI	221	3.8%
STD	204	3.5%
V V645 CEN	192	3.3%
HIP_70890	186	3.2%
Other values (38)	1419	24.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
proxima-cen	1256	17.0%
proxima	898	12.2%
centauri	881	11.9%
prox	571	7.7%
gj551	549	7.4%
gl551	436	5.9%
object	399	5.4%
cen	340	4.6%
std	204	2.8%
v	192	2.6%
Other values (40)	1649	22.4%

Most occurring characters

Value	Count	Frequency (%)
R	4151	7.9%
O	3920	7.4%
A	3710	7.0%
E	3630	6.9%
I	3559	6.7%
P	3543	6.7%
C	3332	6.3%
X	3022	5.7%
N	2963	5.6%
5	2920	5.5%
Other values (27)	18074	34.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	52824	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
R	4151	7.9%
O	3920	7.4%
A	3710	7.0%
E	3630	6.9%
I	3559	6.7%
P	3543	6.7%
C	3332	6.3%
X	3022	5.7%
N	2963	5.6%
5	2920	5.5%
Other values (27)	18074	34.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	52824	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
R	4151	7.9%
O	3920	7.4%
A	3710	7.0%
E	3630	6.9%
I	3559	6.7%
P	3543	6.7%
C	3332	6.3%
X	3022	5.7%
N	2963	5.6%
5	2920	5.5%
Other values (27)	18074	34.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	52824	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
R	4151	7.9%
O	3920	7.4%
A	3710	7.0%
E	3630	6.9%
I	3559	6.7%
P	3543	6.7%
C	3332	6.3%
X	3022	5.7%
N	2963	5.6%
5	2920	5.5%
Other values (27)	18074	34.2%

RA
Real number (ℝ)

High correlation

Distinct	926
Distinct (%)	15.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	217.38737

Minimum	217.25213
Maximum	217.44887
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.1 KiB

Quantile statistics

Minimum	217.25213
5-th percentile	217.25296
Q1	217.38671
median	217.40508
Q3	217.40896
95-th percentile	217.42613
Maximum	217.44887
Range	0.19675
Interquartile range (IQR)	0.02225

Descriptive statistics

Standard deviation	0.047167175
Coefficient of variation (CV)	0.00021697294
Kurtosis	3.6611185
Mean	217.38737
Median Absolute Deviation (MAD)	0.013416
Skewness	-2.1959888
Sum	1278889.9
Variance	0.0022247424
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
217.408292	504	8.6%
217.408625	400	6.8%
217.252958	356	6.1%
217.408958	328	5.6%
217.253083	217	3.7%
217.423208	128	2.2%
217.389208	87	1.5%
217.389333	69	1.2%
217.408375	64	1.1%
217.423292	63	1.1%
Other values (916)	3667	62.3%

Value	Count	Frequency (%)
217.252125	1	< 0.1%
217.252375	2	< 0.1%
217.25275	1	< 0.1%
217.252833	1	< 0.1%
217.252958	356	6.1%
217.253083	217	3.7%
217.253542	1	< 0.1%
217.255583	8	0.1%
217.261667	1	< 0.1%
217.361833	1	< 0.1%

Value	Count	Frequency (%)
217.448875	1	< 0.1%
217.439042	1	< 0.1%
217.436458	1	< 0.1%
217.435	2	< 0.1%
217.434042	1	< 0.1%
217.433875	1	< 0.1%
217.433708	1	< 0.1%
217.433292	1	< 0.1%
217.433208	1	< 0.1%
217.433125	1	< 0.1%

DEC
Real number (ℝ)

High correlation

Distinct	369
Distinct (%)	6.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-62.678826

Minimum	-62.698194
Maximum	-62.646083
Zeros	0
Zeros (%)	0.0%
Negative	5883
Negative (%)	100.0%
Memory size	46.1 KiB

Quantile statistics

Minimum	-62.698194
5-th percentile	-62.695278
Q1	-62.678444
median	-62.677583
Q3	-62.67575
95-th percentile	-62.674111
Maximum	-62.646083
Range	0.052111
Interquartile range (IQR)	0.002694

Descriptive statistics

Standard deviation	0.0060769094
Coefficient of variation (CV)	-9.6953147 × 10^-5
Kurtosis	3.4085914
Mean	-62.678826
Median Absolute Deviation (MAD)	0.001473
Skewness	-1.7967117
Sum	-368739.53
Variance	3.6928828 × 10^-5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-62.677583	502	8.5%
-62.677639	408	6.9%
-62.695278	356	6.1%
-62.677667	331	5.6%
-62.695333	217	3.7%
-62.675972	98	1.7%
-62.676083	93	1.6%
-62.677806	91	1.5%
-62.67625	89	1.5%
-62.675639	77	1.3%
Other values (359)	3621	61.6%

Value	Count	Frequency (%)
-62.698194	1	< 0.1%
-62.697833	1	< 0.1%
-62.695917	8	0.1%
-62.695417	1	< 0.1%
-62.695333	217	3.7%
-62.695278	356	6.1%
-62.695222	2	< 0.1%
-62.695167	2	< 0.1%
-62.695083	1	< 0.1%
-62.693139	1	< 0.1%

Value	Count	Frequency (%)
-62.646083	2	< 0.1%
-62.651667	2	< 0.1%
-62.657222	2	< 0.1%
-62.65725	4	0.1%
-62.663917	2	< 0.1%
-62.663972	2	< 0.1%
-62.664028	2	< 0.1%
-62.66425	2	< 0.1%
-62.664889	2	< 0.1%
-62.665778	2	< 0.1%

Program_ID
Text

Distinct	145
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	355.7 KiB

Length

Max length	14
Median length	13
Mean length	12.889682
Min length	12

Characters and Unicode

Total characters	75 830
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	0.3%

Sample

1st row	299.C-5022(A)
2nd row	299.C-5022(A)
3rd row	299.C-5022(A)
4th row	299.C-5022(A)
5th row	60.A-9800(L)

Value	Count	Frequency (%)
082.d-0953(a	1260	21.4%
299.c-5022(a	583	9.9%
191.c-0505(a	216	3.7%
69.c-0298(a	188	3.2%
099.c-0127(a	171	2.9%
71.c-0388(a	128	2.2%
182.c-0748(a	115	2.0%
113.26dt.001	104	1.8%
182.c-0748(d	104	1.8%
1100.c-0481(f	103	1.8%
Other values (135)	2911	49.5%

Most occurring characters

Value	Count	Frequency (%)
0	11049	14.6%
.	6336	8.4%
2	5708	7.5%
(	5430	7.2%
-	5430	7.2%
)	5430	7.2%
9	5227	6.9%
1	4315	5.7%
A	4083	5.4%
8	3938	5.2%
Other values (27)	18884	24.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	75830	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11049	14.6%
.	6336	8.4%
2	5708	7.5%
(	5430	7.2%
-	5430	7.2%
)	5430	7.2%
9	5227	6.9%
1	4315	5.7%
A	4083	5.4%
8	3938	5.2%
Other values (27)	18884	24.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	75830	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11049	14.6%
.	6336	8.4%
2	5708	7.5%
(	5430	7.2%
-	5430	7.2%
)	5430	7.2%
9	5227	6.9%
1	4315	5.7%
A	4083	5.4%
8	3938	5.2%
Other values (27)	18884	24.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	75830	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11049	14.6%
.	6336	8.4%
2	5708	7.5%
(	5430	7.2%
-	5430	7.2%
)	5430	7.2%
9	5227	6.9%
1	4315	5.7%
A	4083	5.4%
8	3938	5.2%
Other values (27)	18884	24.9%

Instrument
Categorical

High correlation

Distinct	20
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	312.6 KiB

UVES	1751
CRIRES	882
SPHERE	876
HARPS	605
HAWKI	591
Other values (15)	1178

Length

Max length	11
Median length	9
Mean length	5.391297
Min length	4

Characters and Unicode

Total characters	31 717
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	HAWKI
2nd row	HAWKI
3rd row	HAWKI
4th row	HAWKI
5th row	HAWKI

Common Values

Value	Count	Frequency (%)
UVES	1751	29.8%
CRIRES	882	15.0%
SPHERE	876	14.9%
HARPS	605	10.3%
HAWKI	591	10.0%
NAOS+CONICA	247	4.2%
ISAAC	188	3.2%
PIONIER	152	2.6%
AMBER	135	2.3%
ESPRESSO	120	2.0%
Other values (10)	336	5.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
uves	1751	29.8%
crires	882	15.0%
sphere	876	14.9%
harps	605	10.3%
hawki	591	10.0%
naos+conica	247	4.2%
isaac	188	3.2%
pionier	152	2.6%
amber	135	2.3%
espresso	120	2.0%
Other values (10)	336	5.7%

Most occurring characters

Value	Count	Frequency (%)
S	5166	16.3%
E	5000	15.8%
R	3804	12.0%
I	2452	7.7%
A	2272	7.2%
H	2125	6.7%
V	1800	5.7%
P	1790	5.6%
U	1751	5.5%
C	1602	5.1%
Other values (17)	3955	12.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	31717	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	5166	16.3%
E	5000	15.8%
R	3804	12.0%
I	2452	7.7%
A	2272	7.2%
H	2125	6.7%
V	1800	5.7%
P	1790	5.6%
U	1751	5.5%
C	1602	5.1%
Other values (17)	3955	12.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	31717	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	5166	16.3%
E	5000	15.8%
R	3804	12.0%
I	2452	7.7%
A	2272	7.2%
H	2125	6.7%
V	1800	5.7%
P	1790	5.6%
U	1751	5.5%
C	1602	5.1%
Other values (17)	3955	12.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	31717	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	5166	16.3%
E	5000	15.8%
R	3804	12.0%
I	2452	7.7%
A	2272	7.2%
H	2125	6.7%
V	1800	5.7%
P	1790	5.6%
U	1751	5.5%
C	1602	5.1%
Other values (17)	3955	12.5%

Category
Categorical

High correlation

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	325.3 KiB

SCIENCE	4295
ACQUISITION	1114
CALIB	474

Length

Max length	11
Median length	7
Mean length	7.5962944
Min length	5

Characters and Unicode

Total characters	44 689
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ACQUISITION
2nd row	ACQUISITION
3rd row	ACQUISITION
4th row	ACQUISITION
5th row	ACQUISITION

Common Values

Value	Count	Frequency (%)
SCIENCE	4295	73.0%
ACQUISITION	1114	18.9%
CALIB	474	8.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
science	4295	73.0%
acquisition	1114	18.9%
calib	474	8.1%

Most occurring characters

Value	Count	Frequency (%)
C	10178	22.8%
E	8590	19.2%
I	8111	18.1%
S	5409	12.1%
N	5409	12.1%
A	1588	3.6%
Q	1114	2.5%
U	1114	2.5%
T	1114	2.5%
O	1114	2.5%
Other values (2)	948	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	44689	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
C	10178	22.8%
E	8590	19.2%
I	8111	18.1%
S	5409	12.1%
N	5409	12.1%
A	1588	3.6%
Q	1114	2.5%
U	1114	2.5%
T	1114	2.5%
O	1114	2.5%
Other values (2)	948	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	44689	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
C	10178	22.8%
E	8590	19.2%
I	8111	18.1%
S	5409	12.1%
N	5409	12.1%
A	1588	3.6%
Q	1114	2.5%
U	1114	2.5%
T	1114	2.5%
O	1114	2.5%
Other values (2)	948	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	44689	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
C	10178	22.8%
E	8590	19.2%
I	8111	18.1%
S	5409	12.1%
N	5409	12.1%
A	1588	3.6%
Q	1114	2.5%
U	1114	2.5%
T	1114	2.5%
O	1114	2.5%
Other values (2)	948	2.1%

Type
Categorical

High correlation

Distinct	45
Distinct (%)	0.8%
Missing	26
Missing (%)	0.4%
Memory size	326.9 KiB

OBJECT	2048
SLIT	874
OBJECT,POINT	752
SKY	220
OBJECT,CENTER	218
Other values (40)	1745

Length

Max length	18
Median length	15
Mean length	7.8811678
Min length	3

Characters and Unicode

Total characters	46 160
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	OBJECT
2nd row	OBJECT
3rd row	OBJECT
4th row	OBJECT
5th row	OBJECT

Common Values

Value	Count	Frequency (%)
OBJECT	2048	34.8%
SLIT	874	14.9%
OBJECT,POINT	752	12.8%
SKY	220	3.7%
OBJECT,CENTER	218	3.7%
STD	206	3.5%
OBJECT,AO	185	3.1%
STAR,WAVE,M5	168	2.9%
OBJECT,FP	135	2.3%
LAMP,METROLOGY	128	2.2%
Other values (35)	923	15.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
object	2048	35.0%
slit	874	14.9%
object,point	752	12.8%
sky	220	3.8%
object,center	218	3.7%
std	206	3.5%
object,ao	185	3.2%
star,wave,m5	168	2.9%
object,fp	135	2.3%
lamp,metrology	128	2.2%
Other values (35)	923	15.8%

Most occurring characters

Value	Count	Frequency (%)
T	6469	14.0%
O	5107	11.1%
E	4806	10.4%
C	4000	8.7%
B	3601	7.8%
J	3589	7.8%
,	3000	6.5%
S	2047	4.4%
I	1918	4.2%
A	1626	3.5%
Other values (21)	9997	21.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	46160	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
T	6469	14.0%
O	5107	11.1%
E	4806	10.4%
C	4000	8.7%
B	3601	7.8%
J	3589	7.8%
,	3000	6.5%
S	2047	4.4%
I	1918	4.2%
A	1626	3.5%
Other values (21)	9997	21.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	46160	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
T	6469	14.0%
O	5107	11.1%
E	4806	10.4%
C	4000	8.7%
B	3601	7.8%
J	3589	7.8%
,	3000	6.5%
S	2047	4.4%
I	1918	4.2%
A	1626	3.5%
Other values (21)	9997	21.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	46160	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
T	6469	14.0%
O	5107	11.1%
E	4806	10.4%
C	4000	8.7%
B	3601	7.8%
J	3589	7.8%
,	3000	6.5%
S	2047	4.4%
I	1918	4.2%
A	1626	3.5%
Other values (21)	9997	21.7%

Mode
Categorical

High correlation

Distinct	26
Distinct (%)	0.4%
Missing	8
Missing (%)	0.1%
Memory size	345.4 KiB

IMAGE	1356
ECHELLE	1330
IMAGE,HIT	571
SPECTRUM,NODDING,OTHER	441
SPECTRUM	417
Other values (21)	1760

Length

Max length	30
Median length	28
Mean length	11.100766
Min length	3

Characters and Unicode

Total characters	65 217
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IMAGE
2nd row	IMAGE
3rd row	IMAGE
4th row	IMAGE
5th row	IMAGE

Common Values

Value	Count	Frequency (%)
IMAGE	1356	23.0%
ECHELLE	1330	22.6%
IMAGE,HIT	571	9.7%
SPECTRUM,NODDING,OTHER	441	7.5%
SPECTRUM	417	7.1%
INTERFEROMETRY	295	5.0%
ECHELLE,ABSORPTION-CELL,SLIC#3	239	4.1%
IFU	229	3.9%
IMAGE,DUAL,CORONOGRAPHY	189	3.2%
CORONOGRAPHY	111	1.9%
Other values (16)	697	11.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
image	1356	23.1%
echelle	1330	22.6%
image,hit	571	9.7%
spectrum,nodding,other	441	7.5%
spectrum	417	7.1%
interferometry	295	5.0%
echelle,absorption-cell,slic#3	239	4.1%
ifu	229	3.9%
image,dual,coronography	189	3.2%
coronography	111	1.9%
Other values (16)	697	11.9%

Most occurring characters

Value	Count	Frequency (%)
E	10607	16.3%
I	5172	7.9%
L	4880	7.5%
R	4322	6.6%
M	3882	6.0%
C	3838	5.9%
T	3697	5.7%
O	3581	5.5%
A	3509	5.4%
,	3412	5.2%
Other values (17)	18317	28.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	65217	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	10607	16.3%
I	5172	7.9%
L	4880	7.5%
R	4322	6.6%
M	3882	6.0%
C	3838	5.9%
T	3697	5.7%
O	3581	5.5%
A	3509	5.4%
,	3412	5.2%
Other values (17)	18317	28.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	65217	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	10607	16.3%
I	5172	7.9%
L	4880	7.5%
R	4322	6.6%
M	3882	6.0%
C	3838	5.9%
T	3697	5.7%
O	3581	5.5%
A	3509	5.4%
,	3412	5.2%
Other values (17)	18317	28.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	65217	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	10607	16.3%
I	5172	7.9%
L	4880	7.5%
R	4322	6.6%
M	3882	6.0%
C	3838	5.9%
T	3697	5.7%
O	3581	5.5%
A	3509	5.4%
,	3412	5.2%
Other values (17)	18317	28.1%

Dataset ID
Text

Unique

Distinct	5883
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	446.2 KiB

Length

Max length	29
Median length	29
Mean length	28.64066
Min length	28

Characters and Unicode

Total characters	168 493
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 883 ?
Unique (%)	100.0%

Sample

1st row	HAWKI.2017-06-28T03:56:21.604
2nd row	HAWKI.2017-06-28T01:47:30.092
3rd row	HAWKI.2017-06-28T01:50:10.810
4th row	HAWKI.2017-06-28T03:58:13.314
5th row	HAWKI.2017-05-27T22:52:04.495

Value	Count	Frequency (%)
hawki.2017-06-28t05:20:14.297	1	< 0.1%
crire.2011-04-30t04:29:26.530	1	< 0.1%
hawki.2017-06-28t03:56:21.604	1	< 0.1%
hawki.2017-06-28t01:47:30.092	1	< 0.1%
hawki.2017-06-28t01:50:10.810	1	< 0.1%
hawki.2017-06-28t03:58:13.314	1	< 0.1%
hawki.2017-05-27t22:52:04.495	1	< 0.1%
hawki.2017-06-28t05:15:11.757	1	< 0.1%
hawki.2017-06-28t05:21:14.741	1	< 0.1%
hawki.2017-06-28t05:22:45.633	1	< 0.1%
Other values (5873)	5873	99.8%

Most occurring characters

Value	Count	Frequency (%)
0	27844	16.5%
2	15926	9.5%
:	11766	7.0%
.	11766	7.0%
-	11766	7.0%
1	11420	6.8%
3	8450	5.0%
5	7221	4.3%
4	7141	4.2%
9	5935	3.5%
Other values (23)	49258	29.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	168493	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	27844	16.5%
2	15926	9.5%
:	11766	7.0%
.	11766	7.0%
-	11766	7.0%
1	11420	6.8%
3	8450	5.0%
5	7221	4.3%
4	7141	4.2%
9	5935	3.5%
Other values (23)	49258	29.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	168493	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	27844	16.5%
2	15926	9.5%
:	11766	7.0%
.	11766	7.0%
-	11766	7.0%
1	11420	6.8%
3	8450	5.0%
5	7221	4.3%
4	7141	4.2%
9	5935	3.5%
Other values (23)	49258	29.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	168493	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	27844	16.5%
2	15926	9.5%
:	11766	7.0%
.	11766	7.0%
-	11766	7.0%
1	11420	6.8%
3	8450	5.0%
5	7221	4.3%
4	7141	4.2%
9	5935	3.5%
Other values (23)	49258	29.2%

Release_Date
Date

Distinct	395
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Memory size	46.1 KiB

Minimum	2000-03-29 00:00:00
Maximum	2026-02-14 00:00:00

Histogram with fixed size bins (bins=50)

TPL ID
Text

Distinct	60
Distinct (%)	1.0%
Missing	30
Missing (%)	0.5%
Memory size	401.8 KiB

Length

Max length	30
Median length	28
Mean length	21.109175
Min length	15

Characters and Unicode

Total characters	123 552
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	HAWKI_img_acq_FastPhot
2nd row	HAWKI_img_acq_FastPhot
3rd row	HAWKI_img_acq_FastPhot
4th row	HAWKI_img_acq_FastPhot
5th row	HAWKI_img_acq_FastPhot

Value	Count	Frequency (%)
uves_dic2_obs_expfree	1258	21.5%
sphere_irdifs_obs	620	10.6%
hawki_img_obs_fastphot	571	9.8%
crires_spec_obs_autonodonslit	524	9.0%
harps_ech_obs_all	479	8.2%
uves_red_obs_exp	284	4.9%
uves_red_obs_expfree	205	3.5%
isaacsw_spec_cal_standardstar	186	3.2%
crires_pol_obs_autonodonslit	179	3.1%
amber_3tstd_obs_1row	135	2.3%
Other values (50)	1412	24.1%

Most occurring characters

Value	Count	Frequency (%)
_	16596	13.4%
o	8420	6.8%
s	8126	6.6%
e	7603	6.2%
S	6596	5.3%
b	5265	4.3%
E	5005	4.1%
i	4925	4.0%
R	3937	3.2%
d	3797	3.1%
Other values (43)	53282	43.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	123552	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
_	16596	13.4%
o	8420	6.8%
s	8126	6.6%
e	7603	6.2%
S	6596	5.3%
b	5265	4.3%
E	5005	4.1%
i	4925	4.0%
R	3937	3.2%
d	3797	3.1%
Other values (43)	53282	43.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	123552	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
_	16596	13.4%
o	8420	6.8%
s	8126	6.6%
e	7603	6.2%
S	6596	5.3%
b	5265	4.3%
E	5005	4.1%
i	4925	4.0%
R	3937	3.2%
d	3797	3.1%
Other values (43)	53282	43.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	123552	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
_	16596	13.4%
o	8420	6.8%
s	8126	6.6%
e	7603	6.2%
S	6596	5.3%
b	5265	4.3%
E	5005	4.1%
i	4925	4.0%
R	3937	3.2%
d	3797	3.1%
Other values (43)	53282	43.1%

TPL START
Text

Missing

Distinct	967
Distinct (%)	17.1%
Missing	223
Missing (%)	3.8%
Memory size	382.7 KiB

Length

Max length	19
Median length	19
Mean length	18.949117
Min length	1

Characters and Unicode

Total characters	107 252
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	502 ?
Unique (%)	8.9%

Sample

1st row	2017-06-28T03:51:02
2nd row	2017-06-28T01:34:24
3rd row	2017-06-28T01:34:24
4th row	2017-06-28T03:51:02
5th row	2017-05-27T22:37:58

Value	Count	Frequency (%)
2009-03-10t02:30:06	488	8.6%
2009-03-14t02:07:08	388	6.9%
2017-06-28t04:01:55	355	6.3%
2009-03-12t02:12:17	316	5.6%
2017-06-28t01:54:34	216	3.8%
2002-08-05t00:29:37	120	2.1%
2003-07-20t02:37:21	100	1.8%
2009-03-12t09:08:51	60	1.1%
2002-08-04t02:57:29	51	0.9%
2017-03-20t05:26:03	42	0.7%
Other values (956)	3508	62.2%

Most occurring characters

Value	Count	Frequency (%)
0	26344	24.6%
2	14252	13.3%
-	11288	10.5%
:	11288	10.5%
1	9230	8.6%
3	5924	5.5%
T	5644	5.3%
5	4817	4.5%
4	4646	4.3%
7	3740	3.5%
Other values (4)	10079	9.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	107252	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	26344	24.6%
2	14252	13.3%
-	11288	10.5%
:	11288	10.5%
1	9230	8.6%
3	5924	5.5%
T	5644	5.3%
5	4817	4.5%
4	4646	4.3%
7	3740	3.5%
Other values (4)	10079	9.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	107252	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	26344	24.6%
2	14252	13.3%
-	11288	10.5%
:	11288	10.5%
1	9230	8.6%
3	5924	5.5%
T	5644	5.3%
5	4817	4.5%
4	4646	4.3%
7	3740	3.5%
Other values (4)	10079	9.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	107252	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	26344	24.6%
2	14252	13.3%
-	11288	10.5%
:	11288	10.5%
1	9230	8.6%
3	5924	5.5%
T	5644	5.3%
5	4817	4.5%
4	4646	4.3%
7	3740	3.5%
Other values (4)	10079	9.4%

Exptime
Real number (ℝ)

High correlation Zeros

Distinct	230
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	184.58459

Minimum	0
Maximum	3120.002
Zeros	205
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	46.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.05
Q1	1.429
median	28.407
Q3	99.997
95-th percentile	1000.001
Maximum	3120.002
Range	3120.002
Interquartile range (IQR)	98.568

Descriptive statistics

Standard deviation	366.76114
Coefficient of variation (CV)	1.9869543
Kurtosis	5.4857488
Mean	184.58459
Median Absolute Deviation (MAD)	28.209
Skewness	2.4019301
Sum	1085911.1
Variance	134513.73
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28.407	571	9.7%
20	440	7.5%
99.997	354	6.0%
0.098	317	5.4%
0.198	290	4.9%
60	226	3.8%
0	205	3.5%
1199.998	166	2.8%
30	161	2.7%
16	150	2.5%
Other values (220)	3003	51.0%

Value	Count	Frequency (%)
0	205	3.5%
0.003	6	0.1%
0.005	1	< 0.1%
0.007	1	< 0.1%
0.01	37	0.6%
0.018	3	0.1%
0.02	17	0.3%
0.03	8	0.1%
0.04	6	0.1%
0.048	1	< 0.1%

Value	Count	Frequency (%)
3120.002	1	< 0.1%
1800.003	1	< 0.1%
1800.001	13	0.2%
1800	1	< 0.1%
1799.999	2	< 0.1%
1799.996	48	0.8%
1610.001	1	< 0.1%
1500.001	16	0.3%
1455.001	1	< 0.1%
1200.001	8	0.1%

filter_lambda_min
Real number (ℝ)

High correlation Missing

Distinct	16
Distinct (%)	1.4%
Missing	4764
Missing (%)	81.0%
Infinite	0
Infinite (%)	0.0%
Mean	1917.4487

Minimum	490
Maximum	3488
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.1 KiB

Quantile statistics

Minimum	490
5-th percentile	1182
Q1	1480
median	2086
Q3	2086
95-th percentile	3488
Maximum	3488
Range	2998
Interquartile range (IQR)	606

Descriptive statistics

Standard deviation	560.97482
Coefficient of variation (CV)	0.29256314
Kurtosis	2.3753966
Mean	1917.4487
Median Absolute Deviation (MAD)	0
Skewness	0.95835936
Sum	2145625.1
Variance	314692.75
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
2086	591	10.0%
1480	297	5.0%
3488	78	1.3%
1495	56	1.0%
1505	20	0.3%
2025	18	0.3%
653	14	0.2%
617.55	13	0.2%
1103	12	0.2%
720	6	0.1%
Other values (6)	14	0.2%
(Missing)	4764	81.0%

Value	Count	Frequency (%)
490	1	< 0.1%
570	1	< 0.1%
617.55	13	0.2%
653	14	0.2%
720	6	0.1%
721	2	< 0.1%
1103	12	0.2%
1160	4	0.1%
1182	4	0.1%
1480	297	5.0%

Value	Count	Frequency (%)
3488	78	1.3%
2154.5	2	< 0.1%
2086	591	10.0%
2025	18	0.3%
1505	20	0.3%
1495	56	1.0%
1480	297	5.0%
1182	4	0.1%
1160	4	0.1%
1103	12	0.2%

filter_lambda_max
Real number (ℝ)

High correlation Missing

Distinct	16
Distinct (%)	1.4%
Missing	4764
Missing (%)	81.0%
Infinite	0
Infinite (%)	0.0%
Mean	2080.9752

Minimum	590
Maximum	4115
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.1 KiB

Quantile statistics

Minimum	590
5-th percentile	1392
Q1	1770
median	2105
Q3	2105
95-th percentile	4115
Maximum	4115
Range	3525
Interquartile range (IQR)	335

Descriptive statistics

Standard deviation	625.06886
Coefficient of variation (CV)	0.30037305
Kurtosis	5.6710595
Mean	2080.9752
Median Absolute Deviation (MAD)	0
Skewness	1.9988855
Sum	2328611.2
Variance	390711.08
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
2105	591	10.0%
1770	297	5.0%
4115	78	1.3%
1825	56	1.0%
1801	20	0.3%
2299	18	0.3%
659	14	0.2%
674.25	13	0.2%
1392	12	0.2%
1030	6	0.1%
Other values (6)	14	0.2%
(Missing)	4764	81.0%

Value	Count	Frequency (%)
590	1	< 0.1%
659	14	0.2%
674.25	13	0.2%
690	1	< 0.1%
868	2	< 0.1%
1030	6	0.1%
1192	4	0.1%
1320	4	0.1%
1392	12	0.2%
1770	297	5.0%

Value	Count	Frequency (%)
4115	78	1.3%
2299	18	0.3%
2177.5	2	< 0.1%
2105	591	10.0%
1825	56	1.0%
1801	20	0.3%
1770	297	5.0%
1392	12	0.2%
1320	4	0.1%
1192	4	0.1%

Filter
Text

Missing

Distinct	56
Distinct (%)	1.2%
Missing	1171
Missing (%)	19.9%
Memory size	300.1 KiB

Length

Max length	16
Median length	14
Mean length	8.2296265
Min length	1

Characters and Unicode

Total characters	38 778
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	OPEN,NB2090
2nd row	OPEN,NB2090
3rd row	OPEN,NB2090
4th row	OPEN,NB2090
5th row	OPEN,NB2090

Value	Count	Frequency (%)
free,og590	1128	23.9%
open,nb2090	591	12.5%
free,shp700	487	10.3%
ks	408	8.7%
h	258	5.5%
b_h,d_h23	189	4.0%
sh,open	188	4.0%
free,her_5	134	2.8%
hx1e-3,yj	128	2.7%
hx5e-2	114	2.4%
Other values (46)	1087	23.1%

Most occurring characters

Value	Count	Frequency (%)
E	5175	13.3%
,	3635	9.4%
0	3617	9.3%
R	2246	5.8%
H	2188	5.6%
O	2158	5.6%
N	2077	5.4%
F	1967	5.1%
9	1719	4.4%
P	1659	4.3%
Other values (27)	12337	31.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	38778	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	5175	13.3%
,	3635	9.4%
0	3617	9.3%
R	2246	5.8%
H	2188	5.6%
O	2158	5.6%
N	2077	5.4%
F	1967	5.1%
9	1719	4.4%
P	1659	4.3%
Other values (27)	12337	31.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	38778	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	5175	13.3%
,	3635	9.4%
0	3617	9.3%
R	2246	5.8%
H	2188	5.6%
O	2158	5.6%
N	2077	5.4%
F	1967	5.1%
9	1719	4.4%
P	1659	4.3%
Other values (27)	12337	31.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	38778	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	5175	13.3%
,	3635	9.4%
0	3617	9.3%
R	2246	5.8%
H	2188	5.6%
O	2158	5.6%
N	2077	5.4%
F	1967	5.1%
9	1719	4.4%
P	1659	4.3%
Other values (27)	12337	31.8%

MJD-OBS
Real number (ℝ)

High correlation

Distinct	5873
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	56223.242

Minimum	51632.211
Maximum	60749.283
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.1 KiB

Quantile statistics

Minimum	51632.211
5-th percentile	52490.134
Q1	54900.285
median	55703.077
Q3	57932.195
95-th percentile	60040.14
Maximum	60749.283
Range	9117.0722
Interquartile range (IQR)	3031.9097

Descriptive statistics

Standard deviation	2256.0192
Coefficient of variation (CV)	0.040126096
Kurtosis	-0.82876811
Mean	56223.242
Median Absolute Deviation (MAD)	2129.1542
Skewness	0.0023512414
Sum	3.3076133 × 10⁸
Variance	5089622.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
57495.07388	2	< 0.1%
57495.07768	2	< 0.1%
58499.33401	2	< 0.1%
57495.07689	2	< 0.1%
57495.07454	2	< 0.1%
56672.28377	2	< 0.1%
57494.10165	2	< 0.1%
57495.07614	2	< 0.1%
57494.10255	2	< 0.1%
57495.07313	2	< 0.1%
Other values (5863)	5863	99.7%

Value	Count	Frequency (%)
51632.21061	1	< 0.1%
51632.21074	1	< 0.1%
51632.22511	1	< 0.1%
51632.22524	1	< 0.1%
51632.23963	1	< 0.1%
51632.23976	1	< 0.1%
51634.21724	1	< 0.1%
51634.21738	1	< 0.1%
51634.22688	1	< 0.1%
51634.22701	1	< 0.1%

Value	Count	Frequency (%)
60749.28283	1	< 0.1%
60749.28246	1	< 0.1%
60749.28014	1	< 0.1%
60749.28001	1	< 0.1%
60749.27756	1	< 0.1%
60749.27745	1	< 0.1%
60731.32136	1	< 0.1%
60731.32121	1	< 0.1%
60731.31736	1	< 0.1%
60731.3172	1	< 0.1%

Airmass
Real number (ℝ)

Missing

Distinct	965
Distinct (%)	18.5%
Missing	679
Missing (%)	11.5%
Infinite	0
Infinite (%)	0.0%
Mean	1.4577206

Minimum	1.198
Maximum	2.893
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.1 KiB

Quantile statistics

Minimum	1.198
5-th percentile	1.227
Q1	1.278
median	1.332
Q3	1.517
95-th percentile	2.10985
Maximum	2.893
Range	1.695
Interquartile range (IQR)	0.239

Descriptive statistics

Standard deviation	0.28850675
Coefficient of variation (CV)	0.19791636
Kurtosis	4.4203984
Mean	1.4577206
Median Absolute Deviation (MAD)	0.061
Skewness	2.0860236
Sum	7585.978
Variance	0.083236147
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.27	180	3.1%
1.271	173	2.9%
1.274	113	1.9%
1.272	105	1.8%
1.273	86	1.5%
1.275	69	1.2%
1.276	62	1.1%
1.278	59	1.0%
1.277	54	0.9%
1.279	48	0.8%
Other values (955)	4255	72.3%
(Missing)	679	11.5%

Value	Count	Frequency (%)
1.198	23	0.4%
1.199	31	0.5%
1.2	22	0.4%
1.201	8	0.1%
1.202	17	0.3%
1.203	11	0.2%
1.204	16	0.3%
1.205	10	0.2%
1.206	4	0.1%
1.207	10	0.2%

Value	Count	Frequency (%)
2.893	1	< 0.1%
2.886	1	< 0.1%
2.878	1	< 0.1%
2.871	1	< 0.1%
2.864	1	< 0.1%
2.856	1	< 0.1%
2.849	1	< 0.1%
2.841	1	< 0.1%
2.834	1	< 0.1%
2.827	1	< 0.1%

DIMM Seeing at Start
Real number (ℝ)

Missing

Distinct	216
Distinct (%)	4.2%
Missing	679
Missing (%)	11.5%
Infinite	0
Infinite (%)	0.0%
Mean	0.91103574

Minimum	-1
Maximum	3.49
Zeros	0
Zeros (%)	0.0%
Negative	213
Negative (%)	3.6%
Memory size	46.1 KiB

Quantile statistics

Minimum	-1
5-th percentile	0.34
Q1	0.6775
median	0.89
Q3	1.2
95-th percentile	1.74
Maximum	3.49
Range	4.49
Interquartile range (IQR)	0.5225

Descriptive statistics

Standard deviation	0.56925393
Coefficient of variation (CV)	0.62484258
Kurtosis	4.5888726
Mean	0.91103574
Median Absolute Deviation (MAD)	0.25
Skewness	-0.76423732
Sum	4741.03
Variance	0.32405003
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	213	3.6%
0.84	115	2.0%
0.81	78	1.3%
0.66	72	1.2%
0.88	71	1.2%
0.87	68	1.2%
1.03	67	1.1%
0.71	67	1.1%
0.76	66	1.1%
0.83	66	1.1%
Other values (206)	4321	73.4%
(Missing)	679	11.5%

Value	Count	Frequency (%)
-1	213	3.6%
0.24	1	< 0.1%
0.26	4	0.1%
0.27	1	< 0.1%
0.28	4	0.1%
0.29	6	0.1%
0.3	12	0.2%
0.31	7	0.1%
0.32	6	0.1%
0.33	5	0.1%

Value	Count	Frequency (%)
3.49	13	0.2%
2.92	1	< 0.1%
2.85	2	< 0.1%
2.76	2	< 0.1%
2.69	2	< 0.1%
2.66	1	< 0.1%
2.65	2	< 0.1%
2.64	2	< 0.1%
2.63	2	< 0.1%
2.62	1	< 0.1%

	Airmass	Category	DEC	DIMM Seeing at Start	Exptime	Instrument	MJD-OBS	Mode	OBJECT	RA	Type	filter_lambda_max	filter_lambda_min
Airmass	1.000	0.140	-0.258	0.294	-0.127	0.225	-0.141	0.263	0.237	0.041	0.136	0.399	0.448
Category	0.140	1.000	0.289	0.138	0.188	0.638	0.408	0.820	0.839	0.226	0.933	0.485	0.455
DEC	-0.258	0.289	1.000	-0.135	-0.098	0.532	0.304	0.404	0.493	-0.104	0.368	-0.618	-0.671
DIMM Seeing at Start	0.294	0.138	-0.135	1.000	0.015	0.210	0.092	0.222	0.284	-0.140	0.188	0.165	0.218
Exptime	-0.127	0.188	-0.098	0.015	1.000	0.383	0.150	0.451	0.482	-0.144	0.690	0.551	0.591
Instrument	0.225	0.638	0.532	0.210	0.383	1.000	0.544	0.631	0.773	0.642	0.773	0.733	0.773
MJD-OBS	-0.141	0.408	0.304	0.092	0.150	0.544	1.000	0.573	0.688	-0.887	0.541	-0.035	0.015
Mode	0.263	0.820	0.404	0.222	0.451	0.631	0.573	1.000	0.591	0.596	0.558	0.611	0.683
OBJECT	0.237	0.839	0.493	0.284	0.482	0.773	0.688	0.591	1.000	0.691	0.727	0.758	0.839
RA	0.041	0.226	-0.104	-0.140	-0.144	0.642	-0.887	0.596	0.691	1.000	0.532	-0.405	-0.473
Type	0.136	0.933	0.368	0.188	0.690	0.773	0.541	0.558	0.727	0.532	1.000	0.446	0.484
filter_lambda_max	0.399	0.485	-0.618	0.165	0.551	0.733	-0.035	0.611	0.758	-0.405	0.446	1.000	0.966
filter_lambda_min	0.448	0.455	-0.671	0.218	0.591	0.773	0.015	0.683	0.839	-0.473	0.484	0.966	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	OBJECT	RA	DEC	Program_ID	Instrument	Category	Type	Mode	Dataset ID	Release_Date	TPL ID	TPL START	Exptime	filter_lambda_min	filter_lambda_max	Filter	MJD-OBS	Airmass	DIMM Seeing at Start
0	OBJECT	217.252125	-62.695083	299.C-5022(A)	HAWKI	ACQUISITION	OBJECT	IMAGE	HAWKI.2017-06-28T03:56:21.604	Jun 28 2018	HAWKI_img_acq_FastPhot	2017-06-28T03:51:02	16.762	2086.0	2105.0	OPEN,NB2090	57932.164139	1.533	1.08
1	OBJECT	217.252375	-62.695167	299.C-5022(A)	HAWKI	ACQUISITION	OBJECT	IMAGE	HAWKI.2017-06-28T01:47:30.092	Jun 28 2018	HAWKI_img_acq_FastPhot	2017-06-28T01:34:24	16.762	2086.0	2105.0	OPEN,NB2090	57932.074654	1.295	0.95
2	OBJECT	217.252375	-62.695167	299.C-5022(A)	HAWKI	ACQUISITION	OBJECT	IMAGE	HAWKI.2017-06-28T01:50:10.810	Jun 28 2018	HAWKI_img_acq_FastPhot	2017-06-28T01:34:24	16.762	2086.0	2105.0	OPEN,NB2090	57932.076514	1.297	0.96
3	OBJECT	217.252750	-62.695222	299.C-5022(A)	HAWKI	ACQUISITION	OBJECT	IMAGE	HAWKI.2017-06-28T03:58:13.314	Jun 28 2018	HAWKI_img_acq_FastPhot	2017-06-28T03:51:02	16.762	2086.0	2105.0	OPEN,NB2090	57932.165432	1.539	1.22
4	OBJECT	217.252833	-62.695222	60.A-9800(L)	HAWKI	ACQUISITION	OBJECT	IMAGE	HAWKI.2017-05-27T22:52:04.495	May 27 2017	HAWKI_img_acq_FastPhot	2017-05-27T22:37:58	16.762	2086.0	2105.0	OPEN,NB2090	57900.952830	1.712	0.64
5	PROX CENTAURI	217.252958	-62.695278	299.C-5022(A)	HAWKI	SCIENCE	OBJECT	IMAGE,HIT	HAWKI.2017-06-28T05:15:11.757	Jun 28 2018	HAWKI_img_obs_FastPhot	2017-06-28T04:01:55	28.407	2086.0	2105.0	OPEN,NB2090	57932.218886	1.877	1.45
6	PROX CENTAURI	217.252958	-62.695278	299.C-5022(A)	HAWKI	SCIENCE	OBJECT	IMAGE,HIT	HAWKI.2017-06-28T05:21:14.741	Jun 28 2018	HAWKI_img_obs_FastPhot	2017-06-28T04:01:55	28.407	2086.0	2105.0	OPEN,NB2090	57932.223087	1.914	0.95
7	PROX CENTAURI	217.252958	-62.695278	299.C-5022(A)	HAWKI	SCIENCE	OBJECT	IMAGE,HIT	HAWKI.2017-06-28T05:22:45.633	Jun 28 2018	HAWKI_img_obs_FastPhot	2017-06-28T04:01:55	28.407	2086.0	2105.0	OPEN,NB2090	57932.224139	1.923	1.16
8	PROX CENTAURI	217.252958	-62.695278	299.C-5022(A)	HAWKI	SCIENCE	OBJECT	IMAGE,HIT	HAWKI.2017-06-28T05:19:44.081	Jun 28 2018	HAWKI_img_obs_FastPhot	2017-06-28T04:01:55	28.407	2086.0	2105.0	OPEN,NB2090	57932.222038	1.904	1.31
9	PROX CENTAURI	217.252958	-62.695278	299.C-5022(A)	HAWKI	SCIENCE	OBJECT	IMAGE,HIT	HAWKI.2017-06-28T05:19:13.860	Jun 28 2018	HAWKI_img_obs_FastPhot	2017-06-28T04:01:55	28.407	2086.0	2105.0	OPEN,NB2090	57932.221688	1.901	1.31

	OBJECT	RA	DEC	Program_ID	Instrument	Category	Type	Mode	Dataset ID	Release_Date	TPL ID	TPL START	Exptime	filter_lambda_min	filter_lambda_max	Filter	MJD-OBS	Airmass	DIMM Seeing at Start
5873	V645CEN	217.433208	-62.680528	71.C-0026(A)	EFOSC/1.8	SCIENCE	NaN	SPECTRUM	EFOSC.2003-05-10T05:29:13.984	May 9 2004	EFOSC_spec_obs_Spectrum	2003-05-10T05:29:04	9.998	NaN	NaN	FREE	52769.228634	1.240	-1.00
5874	HEAR_SPEC	217.433292	-62.680528	71.C-0026(A)	EFOSC/1.8	CALIB	HEAR_SPEC	SPECTRUM	EFOSC.2003-05-10T05:30:36.256	May 10 2003	EFOSC_spec_cal_Arcs	2003-05-10T05:30:09	0.797	NaN	NaN	FREE	52769.229586	1.241	-1.00
5875	HIP_70890	217.433708	-62.678750	075.C-0100(A)	SOFI	SCIENCE	OTHER	IMAGE	SOFI.2005-06-05T02:24:28.397	Jun 5 2006	SOFI_img_obs_AutoJitter	2005-06-05T02:06:33	60.000	1505.0	1801.0	H,OPEN	53526.100329	1.198	1.74
5876	HIP_70890	217.433875	-62.681472	075.C-0100(A)	SOFI	SCIENCE	OTHER	IMAGE	SOFI.2005-06-05T02:08:58.565	Jun 5 2006	SOFI_img_obs_AutoJitter	2005-06-05T02:06:33	60.000	1505.0	1801.0	H,OPEN	53526.089567	1.198	1.70
5877	HIP_70890	217.434042	-62.677083	075.C-0100(A)	SOFI	SCIENCE	OTHER	IMAGE	SOFI.2005-06-05T02:13:22.694	Jun 5 2006	SOFI_img_obs_AutoJitter	2005-06-05T02:06:33	60.000	1505.0	1801.0	H,OPEN	53526.092624	1.198	1.70
5878	HEAR_SPEC	217.435000	-62.679639	71.C-0026(A)	EFOSC/1.8	CALIB	HEAR_SPEC	SPECTRUM	EFOSC.2003-05-11T06:44:08.275	May 11 2003	EFOSC_spec_cal_Arcs	2003-05-11T06:43:41	0.794	NaN	NaN	FREE	52770.280651	1.360	0.97
5879	V645CEN	217.435000	-62.679667	71.C-0026(A)	EFOSC/1.8	SCIENCE	NaN	SPECTRUM	EFOSC.2003-05-11T06:43:05.184	May 10 2004	EFOSC_spec_obs_Spectrum	2003-05-11T06:42:50	9.997	NaN	NaN	FREE	52770.279921	1.358	0.95
5880	ESPRI_1429-6240	217.436458	-62.697833	077.A-9009(A)	FEROS	SCIENCE	OBJECT,WAVE	ECHELLE	FEROS.2006-07-14T23:08:16.338	Jul 14 2007	FEROS_ech_obs_objcal	2006-07-14T23:07:55	1799.999	NaN	NaN	NaN	53930.964078	1.204	-1.00
5881	ESPRI_1429-6240	217.439042	-62.698194	077.A-9009(A)	FEROS	SCIENCE	OBJECT,SKY	ECHELLE	FEROS.2006-07-14T23:39:31.223	Jul 14 2007	FEROS_ech_obs_objsky	2006-07-14T23:39:10	1799.999	NaN	NaN	NaN	53930.985778	1.198	-1.00
5882	SKY	217.448875	-62.670639	087.C-0423(A)	CRIRES	ACQUISITION	SKY	IMAGE	CRIRE.2011-04-30T04:29:26.530	Apr 30 2012	CRIRES_spec_acq_NoAO	2011-04-30T04:22:54	2.000	NaN	NaN	KS	55681.187113	1.271	0.88

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)